ISI: PAM & ASK OVER BAND-LIMITED CHANNELS
|
|
- Shanon Wilkinson
- 5 years ago
- Views:
Transcription
1 ISI: PAM & ASK OVER BAND-LIMITED CHANNELS PREPARATION... 2 what is ISI?... 2 to do before the lab... 3 what we will do... 3 EXPERIMENT... 3 Bessel pulseforms... 3 Bessel sequences and eye patterns... 5 Butterworth channel... 6 what have we discovered?... 7 postscript... 7 TUTORIAL QUESTIONS... 8 Further reading copyright robert radzyner 2003 Vol D3, ch 1, rev 1.1-1
2 ISI: PAM & ASK OVER BAND-LIMITED CHANNELS ACHIEVEMENTS: discover how to transmit digital data efficiently with minimum intersymbol interference (ISI) over bandwidth constrained channels. PREREQUISITES: refer to recommendations under "preparation" ADVANCED MODULES: BASEBAND CHANNEL FILTERS, LINE-CODE ENCODER, DECISION MAKER, DIGITAL UTILITIES SCOPE: availability of a digital or PC-based scope would be an advantage for eye pattern displays PREPARATION what is ISI? In the experiment D2-06 entitled PCM-TDM, and the Lab Sheet L-54 PAM and TDM we investigated the transmission of sampled signals using amplitude modulated pulses. In these experiments the pulses used as the carriers of the sampled values were narrow rectangular pulses produced with a TWIN PULSE GENERATOR. In that work pulse distortion was not an issue since there was ample bandwidth to pass the sharp transitions. In this experiment we explore how to deal with pulse amplitude modulated (PAM) signals when the pulse streams are transmitted over real channels that have finite bandwidth. The key issue is the interference caused by overlapping sidelobes and tails affecting neighbouring pulses. This is known variously as crosstalk and intersymbol interference (ISI). ISI is a concern not only when dealing with PAM carrying analog sample values, but also in digital communications. For example, minimizing ISI in quantized PAM such as ASK, QAM and PCM gives increased margin against errors caused by noise. This allows a greater density of discrete amplitude levels, hence a greater number of bits per symbol interval. In this experiment we investigate pulse shape characteristics that facilitate transmission over bandwidth limited systems without causing ISI. We will discover how pulses with finite transition times and trailing oscillations ( ringing ) can be interwoven in rapid succession without affecting their data payload. 2 D3
3 to do before the lab This experiment can be approached as a journey of discovery, hence the probing deeper may be more interesting later. However you should do a quick refresh of the material in experiment D2-06 and Lab Sheet L-54, which deal with PAM and TDM, as well as experiment D1-02 and Lab Sheet L-36 introducing eye patterns. A brief review of the TIMS Advanced Modules User Manual for the DECISION MAKER and LINE-CODE ENCODER modules should save time at the workbench. what we will do We will begin with a fairly detailed inspection of pulseforms produced with a Bessel filter and then observe how these can produce a signal that is free of ISI when adjacent pulses overlap. Next we investigate pulseforms generated with a Butterworth filter. Unlike the Bessel case, here we have pulses with several cycles of trailing oscillations. We shall discover a technique for protecting the information payload of a pulse when overlapping occurs. Eye pattern displays will be used to investigate the range of pulse rates that can be transmitted without ISI 1. In other experiments we show how pulse shapes are manipulated to achieve higher transmission rates. Bessel pulseforms EXPERIMENT In this section we generate a periodic repetition of an isolated Bessel pulse. T1 patch up the system in Figure 1, one module at a time, starting with the VCO (on-board switch SW2 to VCO mode), then LINE-CODE ENCODER M.CLK and B.CLK, divide by 8 in DIGITAL UTILITIES, B.CLK IN & B.CLK OUT in the DECISION MAKER (the on-board SW1 may be in any position). Tune the VCO near 8000 Hz. Note that the LINE- CODE ENCODER generates a frequency division by 4 at B.CLK OUT. OUT Figure 1: set-up for displaying isolated pulseform DC systems 1 although these demonstrations are modelled at baseband, the principles apply equally with carrier D3-3
4 T2 check that the B.CLK OUT of the DECISION MAKER is a train of TTL LO pulses (the trigger range of the monostable may depend on the VCO frequency if there is no output, alter the position of the decision point control on the front panel to enable the trigger circuit). The repetition rate should be the VCO frequency divided by 32. T3 measure and note the width of the pulse from B.CLK OUT of the DECISION MAKER. Observe that the width of this pulse is fixed and not affected by the VCO frequency. 2 T4 obtain erect pulses by connecting the DECISION MAKER B.CLK OUT to the TTL inverter in the DIGITAL UTILITIES. T5 connect the inverter output to the LINE-CODE ENCODER DATA input. Display both the input and the UNI-RZ output and compare their widths as you vary the VCO frequency. Our pulse generator is now ready. You may be wondering why the LINE-CODE ENCODER is needed. In T3 and T5 you will have noticed that while the input pulse width remains constant as the VCO frequency changes, the UNI-RZ pulse width does not it varies so that it is always half the period of the bit clock. This way we ensure that the excitation pulse has the correct width when comparing bandlimited sequences and the corresponding isolated pulse shape at a selected pulse frequency (we shall be using sequences generated with half pulse line codes). T6 set the front panel switch of the BASEBAND CHANNEL FILTERS to position 3 to select the Bessel filter, and the front panel toggle switch for DC coupling. T7 with UNI-RZ 3 pulses at the input, connect the filter output through the ADDER to allow for amplitude control and DC offset correction in the usual way. The output display should have the general appearance shown in Figure 2 (pulse amplitude is around 1.6 V). T8 remove any DC offset and measure the width of the output pulseform across its base (ie. at zero volts) 4. Figure 2: Bessel pulse and eye pattern (symbol width 367µs) 2 note that we shall not be using any other functions of the DECISION MAKER its role here is merely to serve as a monostable with suitable pulse width (a TWIN-PULSE GENERATOR would be an alternative, however the pulse width is too narrow). 3 we shall be using RZ-AMI for sequences. The Uni-RZ format is required for the generation of individual pulseform snapshots. The pulseform elements are the same in both formats. 4 you may find the RZ-AMI line code with eye pattern scope triggering better suited for precision DC offset adjustment.. 4 D3
5 Bessel sequences and eye patterns We will now generate and observe PAM sequences of Bessel pulses by patching up the model of Figure 3. As we are in a digital communications context, using discrete amplitude levels, this is amplitude shift keying (ASK). We will first display sequence snapshots, then eye patterns. T9 before inserting the SEQUENCE GENERATOR set the on-board dip switch SW-2 for a short sequence (both toggles UP). T10 patch up the model of Figure 3 5. SNAPSHOT SYNCH OUT DC Figure 3: set-up for eye pattern and snapshot displays The set-up is not greatly different to that in Figure 1: a SEQUENCE GENERATOR replaces the DIGITAL UTILITIES and DECISION MAKER subsystem. Remember to change the line code to RZ-AMI (note that a TTL LO generates a zero valued RZ- AMI output). 6 T11 trigger the scope with the SYNC output of the SEQUENCE GENERATOR to generate a snapshot display of the sequence before and after the filter. T12 starting with a pulse rate around 2000 Hz, compare the appearance of the input and output sequences, and verify that you are able to easily recognize the individual symbol values in the bandlimited output. T13 vary the pulse frequency over the range Hz and note any changes you observe, especially as the symbol interval is reduced. Record the highest pulse frequency that allows you to comfortably recognize the symbols. Examine the sequence snapshot display and observe that pulseforms overlap across adjacent symbol intervals as you increase frequency toward 3000 Hz, the overlap approaches 100%. Even with an overlap of up to 100%, the appearance of the waveform is regular and individual symbols have a consistent shape and amplitude. Consider how this occurs and whether this indicates absence of ISI (this question will be resolved in T15 and T16). 5 the new set-up can be assembled without disturbing the DIGITAL UTILITIES and DECISION MAKER set-up it will be needed again. The only change required is to move the LINE-CODE ENCODER DATA input lead from the TTL inverter output to the SEQUENCE GENERATOR output. 6 in this lab we are not concerned with the properties of RZ-AMI line coding. This pulse format has been chosen as a good vehicle for presenting the eye pattern demonstrations. D3-5
6 T14 change the scope settings to display the eye pattern (use the B.CLK signal as scope trigger). Note that this is a three level display (see Figure 2). Using the longest sequence (both toggles of the on-board DIP switch SW-2 DOWN) will generate more transitions for the eye pattern. T15 repeat the steps above, and note the maximum pulse frequency for which the eye remains fully open. Compare this with the maximum frequency you determined with the snapshot display. Note how, with a fully open eye pattern only three distinct amplitude levels occur at the centre of the pulse interval, even with adjacent pulses overlapping. T16 using the observations you recorded for isolated pulses, demonstrate how 100% overlap may occur without causing ISI at the critical point for sampling and decision. T17 increase the pulse frequency further, so that the inner envelopes of the eye pattern begin to close. Propose a measure of eye closure (as a percentage or in db units). Obtain the eye closure value at three or four pulse frequencies, and plot the result as a function of frequency. Are you surprised by the outcome? Butterworth channel T18 with the set-up unchanged 7, switch to the Butterworth filter of the BASEBAND CHANNEL FILTERS module (position 2 on front panel). You may need to re-adjust the amplitude and DC offset. T19 observe the eye pattern over a range of pulse frequencies as before, and measure eye opening and frequency for the best outcome. Note that unlike the Bessel case, the eye pattern deteriorates at frequencies below and above the optimum. Experience has shown that a better eye may be obtained with a slightly modified filter response. T20 connect the RC LPF in the UTILITIES module in cascade with the Butterworth filter and repeat the above. Note that the eye pattern is not symmetrical (see Figure 4). Figure 4: Butterworth-RC pulse and eye pattern (symbol width 480µs) 7 this saves a little set-up time. More importantly, this is a better path to the desired outcome. 6 D3
7 T21 with the pulse frequency set for the best eye you can obtain (with or without the RC LPF), return to the sequence snapshot mode (scope external trigger to SEQUENCE GENERATOR SYNCH output) and note whether you are able to clearly identify the amplitudes of the individual pulse elements. T22 again, with the pulse frequency unchanged, return to the pulseform mode (just move three leads: LINE-CODE ENCODER DATA input back to TTL inverter and scope trigger; filters input back to UNI-RZ line-code output). Observe the significant trailing oscillations spanning several periods of the pulse frequency (see Figure 4: spacing between cursors is 0.96ms). T23 measure the intervals between the first few zero crossings. Note the variation and compare with the period of the eye pattern. what have we discovered? From the zero crossing measurements on the Butterworth pulseform we find that a nice eye pattern - with zero or near zero ISI occurs when the interval between particular zero crossings is equal to the pulse transmission interval, i.e. the period of the eye pattern. To see how ISI is avoided in a situation with multiple overlap of pulses, try the following exercise. Trace the pulseform of Figure 4 onto a transparent sheet, lay it carefully on top of the original with an arbitrary lateral displacement other than a multiple of 0.48ms and sketch the sum (ensure that the time axes are precisely aligned). Then repeat this with a multiple of 0.48ms and note the difference. The exercise is more satisfying if three or more pulses are used (you can also subtract). The critical point to note is the generation of values that are made up of only one non-zero contribution one for each pulse in the summation. Indeed, by now you will have realized that this process is replicating the process taking place in the scope when you trigger for an eye pattern display. Observe how the sidelobes can be seen about the zero amplitude level in the eye pattern, and compare with the Bessel eye. 8 Thus, as you see, if the pulse stream is the summation of pulses with ideal zero crossings, there will be only one non-zero contribution at the point where the critical zero crossings occur. Hence, inspection of the pulse stream at these points will be free of interference by overlapping pulses. This idea was discovered by H. Nyquist in the 1920 s in telegraphy applications, and is known as Nyquist s First Criterion. It is the key to ISI-free digital communications over channels that have limited bandwidth. postscript Comparing your observations in this experiment, you may be left with the impression that the Bessel pulseform would be the preferred choice it allowed a significantly higher pulse rate than the Butterworth case (near 50% faster), and is not sensitive to 8 note that this is a benefit of using RZ-AMI input format for this demonstration. It comes about due to the frequent strings of zero values. D3-7
8 symbol frequency. Nevertheless, from the zero crossing spacing of the Butterworth pulseform, you may have been tempted to venture an eye pattern near 4200 pulses per second 9. Indeed, you would have been rewarded with a distinct eye, possibly around 70% open or better. Inspection of the Butterworth pulseform in Figure 4 indicates that an impediment to better performance at the higher pulse frequency is the initially sluggish risetime of the leading edge. In the experiment D3-02 entitled equalization for ISI we use a PHASE SHIFTER to reduce the attack time by introducing a precursor zero crossing. Thus equalized, this pulseform provides good ISI quality at frequencies around 30% higher than Bessel. An interesting conclusion: to get the most from your digital communication system when bandwidth is in limited supply, use smart analog pulseforms to represents the digital symbols. TUTORIAL QUESTIONS Q1 Give two examples of band-limited channels commonly used for digital communication. Also, give an example of a channel that is not bandlimited. Q2 Why are rectangular pulse shapes unsuitable for efficient digital communications over band-limited channels? Indicate your understanding of the term efficient in this context. Q3 Explain why a low-pass filter is needed in baseband digital communications receivers operating over wideband channels, i.e. channels with no bandwidth constraint (such channels are usually referred to as power limited ). Hint: think about matched filters. Q4 Describe how intersymbol interference (ISI) arises in PAM and ASK systems operating over band-limited channels. Q5 At the lab bench you re-discovered Nyquist s smart idea of exploiting zero crossings to deal with the unavoidable time spreading that comes about when working with channels of limited bandwidth. In this exercise we examine some basic theory that underpins Nyquist s scheme. (a) confirm to your satisfaction that the Fourier transform of the (two-sided) frequency domain function G(f) = G 0 over B f < B, and zero at other values of f is given by g(t) = 2G 0 B sinc(2bt) where f is in Hz and sinc(u) denotes sin(πu)/( πu). Verify that the value of g(0) is the area under G(f). 9 may require the VCO s HI range (front panel toggle switch) with a frequency division by 4 (DIGITAL UTILITIES module). 8 D3
9 (b) Sketch the graph of g(t) and note the placement and spacing of the zero crossings. (c) We now generate an ASK message y(t) using the sinc function in part (a) to represent the symbol pulseform 10, i.e. y(t) = Σ k A k sinc[2b(t k/t s )] where: A k represents 11 random binary amplitudes ±A 0 ( volt ) T s is the symbol period (sec) k is an integer representing the symbol index Note that this expression reflects the scenario we had in the lab, where we were free to set the pulse rate with the VCO, i.e. we could tune the VCO for the desired value of symbol interval T s. Let s do this here. An interesting possibility is to have T s = 1/(2B). Substitute this in the expression for y(t), and show that at values t m of t such that 2Bt m is an integer m, all the terms in the summation except one vanish, and y(t m ) = A m. Moreover, satisfy yourself that for non integer values of 2Bt, y(t) is the summation 12 of a large number of contributions. Compare this with your observations in the lab. Note that setting T s to integer multiples of 1/(2B) will also yield the same outcome, however this is of no practical interest since we will prefer to use the highest available symbol rate, i.e. two symbols per second per Hz of bandwidth. (d) It turns out that the bandwidth efficiency of two symbols per second per Hz in part (c) is the highest that can be achieved for band-limited PAM free of ISI. Many band-limited basic pulses with suitable zero crossings exist, however the product of zero crossing interval and bandwidth will be greater than 2. Thus, the sinc pulseform represents a theoretical benchmark for bandwidth efficiency for band-limited PAM and ASK free of ISI or information loss. Is it possible to prove this in a simple way? Here is an interesting demonstration. We consider the alternating ASK sequence, +A 0, -A 0, +A 0, -A 0, +A 0, -A 0, +A 0, -A 0, using any symbol pulseform with symbol interval T s. Show that this waveform has a line spectrum (i.e. a Fourier series). What is the frequency of 10 while the sinc function is unrealisable, practical approximations are readily generated. However, as will be seen in the experiment ISI: Pulse shaping for band-limited channels, some of its characteristics are undesirable for practical applications. 11 sometimes there is a stipulation that the A k s be uncorrelated. If correlation is present (e.g. through line-code encoding) the spectrum of y(t) will not be the same as the spectrum of the basic pulse; however, for this exercise, the only parameter of interest is the bandwidth, which is not affected. 12 students interested in the mathematical niceties might be tempted to examine the convergence (or otherwise) of even one such summation. If you are not happy with the behaviour of the sinc function, you could treat it as a limiting case of a vestigial symmetry Nyquist pulseform this is normally covered in most basic texts that include the Nyquist scheme. D3-9
10 the fundamental? We now consider the transmission of this message over a baseband channel with infinite attenuation above f c Hz. What is the minimum value of T s for which any component of the message can pass through the channel? This sequence is a member of the set of binary message sequences that may occur. We assert that if a channel of bandwidth slightly less than B = f c = 1/(2 T s ) Hz does not pass this message, then the minimum bandwidth needed for transmission without distortion or information loss is B = 1/(2 T s ). Mathematicians are generally more comfortable with this kind of argument than engineers what do you think? Q6 Imagine a student who has already completed an experiment with the DECISION MAKER but has not come across Nyquist eye patterns that you generated in this lab. Show your colleague how to position the trigger instants for a decision device so that interference from adjacent symbols is minimized. Further reading Most standard textbooks cover the basics of the Nyquist theory. For an excellent and particularly insightful presentation, look up Introduction to signal transmission by W.R. Bennett, if you are lucky enough to find a copy in your library (McGraw-Hill, 1970). 10 D3
EE 400L Communications. Laboratory Exercise #7 Digital Modulation
EE 400L Communications Laboratory Exercise #7 Digital Modulation Department of Electrical and Computer Engineering University of Nevada, at Las Vegas PREPARATION 1- ASK Amplitude shift keying - ASK - in
More informationDELTA MODULATION. PREPARATION principle of operation slope overload and granularity...124
DELTA MODULATION PREPARATION...122 principle of operation...122 block diagram...122 step size calculation...124 slope overload and granularity...124 slope overload...124 granular noise...125 noise and
More informationEE 460L University of Nevada, Las Vegas ECE Department
EE 460L PREPARATION 1- ASK Amplitude shift keying - ASK - in the context of digital communications is a modulation process which imparts to a sinusoid two or more discrete amplitude levels. These are related
More informationEXPERIMENT 2: Frequency Shift Keying (FSK)
EXPERIMENT 2: Frequency Shift Keying (FSK) 1) OBJECTIVE Generation and demodulation of a frequency shift keyed (FSK) signal 2) PRELIMINARY DISCUSSION In FSK, the frequency of a carrier signal is modified
More informationUniversitas Sumatera Utara
Amplitude Shift Keying & Frequency Shift Keying Aim: To generate and demodulate an amplitude shift keyed (ASK) signal and a binary FSK signal. Intro to Generation of ASK Amplitude shift keying - ASK -
More informationExperiment 2 Effects of Filtering
Experiment 2 Effects of Filtering INTRODUCTION This experiment demonstrates the relationship between the time and frequency domains. A basic rule of thumb is that the wider the bandwidth allowed for the
More informationQUESTION BANK SUBJECT: DIGITAL COMMUNICATION (15EC61)
QUESTION BANK SUBJECT: DIGITAL COMMUNICATION (15EC61) Module 1 1. Explain Digital communication system with a neat block diagram. 2. What are the differences between digital and analog communication systems?
More informationHandout 13: Intersymbol Interference
ENGG 2310-B: Principles of Communication Systems 2018 19 First Term Handout 13: Intersymbol Interference Instructor: Wing-Kin Ma November 19, 2018 Suggested Reading: Chapter 8 of Simon Haykin and Michael
More informationSIGNALS AND SYSTEMS LABORATORY 13: Digital Communication
SIGNALS AND SYSTEMS LABORATORY 13: Digital Communication INTRODUCTION Digital Communication refers to the transmission of binary, or digital, information over analog channels. In this laboratory you will
More informationExperiment 1 Special signals characteristics and applications
Experiment 1 Special signals characteristics and applications Achievements in this experiment Time domain responses are discovered: step and impulse responses as paradigms for the characterization of system
More informationEE390 Final Exam Fall Term 2002 Friday, December 13, 2002
Name Page 1 of 11 EE390 Final Exam Fall Term 2002 Friday, December 13, 2002 Notes 1. This is a 2 hour exam, starting at 9:00 am and ending at 11:00 am. The exam is worth a total of 50 marks, broken down
More informationEE5713 : Advanced Digital Communications
EE573 : Advanced Digital Communications Week 4, 5: Inter Symbol Interference (ISI) Nyquist Criteria for ISI Pulse Shaping and Raised-Cosine Filter Eye Pattern Error Performance Degradation (On Board) Demodulation
More informationEE3723 : Digital Communications
EE3723 : Digital Communications Week 11, 12: Inter Symbol Interference (ISI) Nyquist Criteria for ISI Pulse Shaping and Raised-Cosine Filter Eye Pattern Equalization (On Board) 01-Jun-15 Muhammad Ali Jinnah
More informationLinear Time-Invariant Systems
Linear Time-Invariant Systems Modules: Wideband True RMS Meter, Audio Oscillator, Utilities, Digital Utilities, Twin Pulse Generator, Tuneable LPF, 100-kHz Channel Filters, Phase Shifter, Quadrature Phase
More informationLecture 3 Concepts for the Data Communications and Computer Interconnection
Lecture 3 Concepts for the Data Communications and Computer Interconnection Aim: overview of existing methods and techniques Terms used: -Data entities conveying meaning (of information) -Signals data
More informationTime division multiplexing The block diagram for TDM is illustrated as shown in the figure
CHAPTER 2 Syllabus: 1) Pulse amplitude modulation 2) TDM 3) Wave form coding techniques 4) PCM 5) Quantization noise and SNR 6) Robust quantization Pulse amplitude modulation In pulse amplitude modulation,
More informationDSBSC GENERATION. PREPARATION definition of a DSBSC viewing envelopes multi-tone message... 37
DSBSC GENERATION PREPARATION... 34 definition of a DSBSC... 34 block diagram...36 viewing envelopes... 36 multi-tone message... 37 linear modulation...38 spectrum analysis... 38 EXPERIMENT... 38 the MULTIPLIER...
More informationCommunication Systems Modelling
Communication Systems Modelling with Volume D2 Further & Advanced Digital Experiments Tim Hooper Communication Systems Modelling with Volume D2 Further & Advanced Digital Experiments Emona Instruments
More informationDIGITAL UTILITY SUB- SYSTEMS
DIGITAL UTILITY SUB- SYSTEMS INTRODUCTION... 138 bandpass filters... 138 digital delay... 139 digital divide-by-1, 2, 4, or 8... 140 digital divide-by-2, 3, 4... 140 digital divide-by-4... 141 digital
More informationText Book: Simon Haykin & Michael Moher,
Qassim University College of Engineering Electrical Engineering Department Electronics and Communications Course: EE322 Digital Communications Prerequisite: EE320 Text Book: Simon Haykin & Michael Moher,
More informationPULSE SHAPING AND RECEIVE FILTERING
PULSE SHAPING AND RECEIVE FILTERING Pulse and Pulse Amplitude Modulated Message Spectrum Eye Diagram Nyquist Pulses Matched Filtering Matched, Nyquist Transmit and Receive Filter Combination adaptive components
More informationINTRODUCTION TO COMMUNICATION SYSTEMS LABORATORY IV. Binary Pulse Amplitude Modulation and Pulse Code Modulation
INTRODUCTION TO COMMUNICATION SYSTEMS Introduction: LABORATORY IV Binary Pulse Amplitude Modulation and Pulse Code Modulation In this lab we will explore some of the elementary characteristics of binary
More informationYEDITEPE UNIVERSITY ENGINEERING FACULTY COMMUNICATION SYSTEMS LABORATORY EE 354 COMMUNICATION SYSTEMS
YEDITEPE UNIVERSITY ENGINEERING FACULTY COMMUNICATION SYSTEMS LABORATORY EE 354 COMMUNICATION SYSTEMS EXPERIMENT 3: SAMPLING & TIME DIVISION MULTIPLEX (TDM) Objective: Experimental verification of the
More informationFundamentals of Digital Communication
Fundamentals of Digital Communication Network Infrastructures A.A. 2017/18 Digital communication system Analog Digital Input Signal Analog/ Digital Low Pass Filter Sampler Quantizer Source Encoder Channel
More informationPrinciples of Baseband Digital Data Transmission
Principles of Baseband Digital Data Transmission Prof. Wangrok Oh Dept. of Information Communications Eng. Chungnam National University Prof. Wangrok Oh(CNU) / 3 Overview Baseband Digital Data Transmission
More informationDepartment of Electronics & Telecommunication Engg. LAB MANUAL. B.Tech V Semester [ ] (Branch: ETE)
Department of Electronics & Telecommunication Engg. LAB MANUAL SUBJECT:-DIGITAL COMMUNICATION SYSTEM [BTEC-501] B.Tech V Semester [2013-14] (Branch: ETE) KCT COLLEGE OF ENGG & TECH., FATEHGARH PUNJAB TECHNICAL
More informationBasic Concepts in Data Transmission
Basic Concepts in Data Transmission EE450: Introduction to Computer Networks Professor A. Zahid A.Zahid-EE450 1 Data and Signals Data is an entity that convey information Analog Continuous values within
More informationEmona Telecoms-Trainer ETT-101
EXPERIMENTS IN MODERN COMMUNICATIONS Emona Telecoms-Trainer ETT-101 Multi-Experiment Single Board Telecommunications Trainer for Technical College and Technical High School Students EMONA INSTRUMENTS www.ett101.com
More informationLOOKING AT DATA SIGNALS
LOOKING AT DATA SIGNALS We diplay data signals graphically in many ways, ranging from textbook illustrations to test equipment screens. This note helps you integrate those views and to see how some modulation
More informationHandout 11: Digital Baseband Transmission
ENGG 23-B: Principles of Communication Systems 27 8 First Term Handout : Digital Baseband Transmission Instructor: Wing-Kin Ma November 7, 27 Suggested Reading: Chapter 8 of Simon Haykin and Michael Moher,
More informationITM 1010 Computer and Communication Technologies
ITM 1010 Computer and Communication Technologies Lecture #14 Part II Introduction to Communication Technologies: Digital Signals: Digital modulation, channel sharing 2003 香港中文大學, 電子工程學系 (Prof. H.K.Tsang)
More informationMODELLING AN EQUATION
MODELLING AN EQUATION PREPARATION...1 an equation to model...1 the ADDER...2 conditions for a null...3 more insight into the null...4 TIMS experiment procedures...5 EXPERIMENT...6 signal-to-noise ratio...11
More informationUNIT III -- DATA AND PULSE COMMUNICATION PART-A 1. State the sampling theorem for band-limited signals of finite energy. If a finite energy signal g(t) contains no frequency higher than W Hz, it is completely
More informationEEE 309 Communication Theory
EEE 309 Communication Theory Semester: January 2017 Dr. Md. Farhad Hossain Associate Professor Department of EEE, BUET Email: mfarhadhossain@eee.buet.ac.bd Office: ECE 331, ECE Building Types of Modulation
More informationExperiment Five: The Noisy Channel Model
Experiment Five: The Noisy Channel Model Modified from original TIMS Manual experiment by Mr. Faisel Tubbal. Objectives 1) Study and understand the use of marco CHANNEL MODEL module to generate and add
More informationCommunication Systems Lab
LAB MANUAL Communication Systems Lab (EE-226-F) Prepared by: Varun Sharma (Lab In-charge) Dayal C. Sati (Faculty In-charge) B R C M CET BAHAL DEPARTMENT OF ELECTRONICS & COMMUNICATION ENGINEERING Page
More informationThe Sampling Theorem:
The Sampling Theorem: Aim: Experimental verification of the sampling theorem; sampling and message reconstruction (interpolation). Experimental Procedure: Taking Samples: In the first part of the experiment
More informationEE 4440 Comm Theory Lab 5 Line Codes
EE 4440 Comm Theory Lab 5 Line Codes Purpose: The purpose of this lab is to investigate the properties of various line codes. Specific parameters investigated will be wave shape, bandwidth, and transparency.
More informationDIGITAL COMMUNICATIONS LAB
DIGITAL COMMUNICATIONS LAB List of Experiments: 1. PCM Generation and Detection. 2. Differential Pulse Code modulation. 3. Delta modulation. 4. Time Division Multiplexing of 2band Limited Signals. 5. Frequency
More informationTheory of Telecommunications Networks
Theory of Telecommunications Networks Anton Čižmár Ján Papaj Department of electronics and multimedia telecommunications CONTENTS Preface... 5 1 Introduction... 6 1.1 Mathematical models for communication
More informationSampling and Reconstruction
Experiment 10 Sampling and Reconstruction In this experiment we shall learn how an analog signal can be sampled in the time domain and then how the same samples can be used to reconstruct the original
More informationEE-4022 Experiment 3 Frequency Modulation (FM)
EE-4022 MILWAUKEE SCHOOL OF ENGINEERING 2015 Page 3-1 Student Objectives: EE-4022 Experiment 3 Frequency Modulation (FM) In this experiment the student will use laboratory modules including a Voltage-Controlled
More informationDigital Modulation Schemes
Digital Modulation Schemes 1. In binary data transmission DPSK is preferred to PSK because (a) a coherent carrier is not required to be generated at the receiver (b) for a given energy per bit, the probability
More informationClass 4 ((Communication and Computer Networks))
Class 4 ((Communication and Computer Networks)) Lesson 5... SIGNAL ENCODING TECHNIQUES Abstract Both analog and digital information can be encoded as either analog or digital signals. The particular encoding
More informationCSE 123: Computer Networks Alex C. Snoeren. Project 1 out Today, due 10/26!
CSE 123: Computer Networks Alex C. Snoeren Project 1 out Today, due 10/26! Signaling Types of physical media Shannon s Law and Nyquist Limit Encoding schemes Clock recovery Manchester, NRZ, NRZI, etc.
More information18.8 Channel Capacity
674 COMMUNICATIONS SIGNAL PROCESSING 18.8 Channel Capacity The main challenge in designing the physical layer of a digital communications system is approaching the channel capacity. By channel capacity
More informationPractice 2. Baseband Communication
PRACTICE : Practice. Baseband Communication.. Objectives To learn to use the software Simulink of MATLAB so as to analyze baseband communication systems... Practical development... Unipolar NRZ signal
More informationSignal Characteristics
Data Transmission The successful transmission of data depends upon two factors:» The quality of the transmission signal» The characteristics of the transmission medium Some type of transmission medium
More informationThe quality of the transmission signal The characteristics of the transmission medium. Some type of transmission medium is required for transmission:
Data Transmission The successful transmission of data depends upon two factors: The quality of the transmission signal The characteristics of the transmission medium Some type of transmission medium is
More informationAdvanced Digital Signal Processing Part 2: Digital Processing of Continuous-Time Signals
Advanced Digital Signal Processing Part 2: Digital Processing of Continuous-Time Signals Gerhard Schmidt Christian-Albrechts-Universität zu Kiel Faculty of Engineering Institute of Electrical Engineering
More informationDigital Communication - Pulse Shaping
Digital Communication - Pulse Shaping After going through different types of coding techniques, we have an idea on how the data is prone to distortion and how the measures are taken to prevent it from
More informationLine Coding for Digital Communication
Line Coding for Digital Communication How do we transmit bits over a wire, RF, fiber? Line codes, many options Power spectrum of line codes, how much bandwidth do they take Clock signal and synchronization
More informationQUESTION BANK EC 1351 DIGITAL COMMUNICATION YEAR / SEM : III / VI UNIT I- PULSE MODULATION PART-A (2 Marks) 1. What is the purpose of sample and hold
QUESTION BANK EC 1351 DIGITAL COMMUNICATION YEAR / SEM : III / VI UNIT I- PULSE MODULATION PART-A (2 Marks) 1. What is the purpose of sample and hold circuit 2. What is the difference between natural sampling
More informationExercise 3-2. Digital Modulation EXERCISE OBJECTIVE DISCUSSION OUTLINE DISCUSSION. PSK digital modulation
Exercise 3-2 Digital Modulation EXERCISE OBJECTIVE When you have completed this exercise, you will be familiar with PSK digital modulation and with a typical QPSK modulator and demodulator. DISCUSSION
More informationJitter in Digital Communication Systems, Part 1
Application Note: HFAN-4.0.3 Rev.; 04/08 Jitter in Digital Communication Systems, Part [Some parts of this application note first appeared in Electronic Engineering Times on August 27, 200, Issue 8.] AVAILABLE
More informationDigital signal is denoted by discreet signal, which represents digital data.there are three types of line coding schemes available:
Digital-to-Digital Conversion This section explains how to convert digital data into digital signals. It can be done in two ways, line coding and block coding. For all communications, line coding is necessary
More informationEXPERIMENT 1: Amplitude Shift Keying (ASK)
EXPERIMENT 1: Amplitude Shift Keying (ASK) 1) OBJECTIVE Generation and demodulation of an amplitude shift keyed (ASK) signal 2) PRELIMINARY DISCUSSION In ASK, the amplitude of a carrier signal is modified
More informationCOMPUTER COMMUNICATION AND NETWORKS ENCODING TECHNIQUES
COMPUTER COMMUNICATION AND NETWORKS ENCODING TECHNIQUES Encoding Coding is the process of embedding clocks into a given data stream and producing a signal that can be transmitted over a selected medium.
More informationECE 4600 Communication Systems
ECE 4600 Communication Systems Dr. Bradley J. Bazuin Associate Professor Department of Electrical and Computer Engineering College of Engineering and Applied Sciences Course Topics Course Introduction
More informationObjectives. Presentation Outline. Digital Modulation Lecture 03
Digital Modulation Lecture 03 Inter-Symbol Interference Power Spectral Density Richard Harris Objectives To be able to discuss Inter-Symbol Interference (ISI), its causes and possible remedies. To be able
More informationProblems from the 3 rd edition
(2.1-1) Find the energies of the signals: a) sin t, 0 t π b) sin t, 0 t π c) 2 sin t, 0 t π d) sin (t-2π), 2π t 4π Problems from the 3 rd edition Comment on the effect on energy of sign change, time shifting
More informationEEE 309 Communication Theory
EEE 309 Communication Theory Semester: January 2016 Dr. Md. Farhad Hossain Associate Professor Department of EEE, BUET Email: mfarhadhossain@eee.buet.ac.bd Office: ECE 331, ECE Building Part 05 Pulse Code
More informationLecture 3: Modulation & Clock Recovery. CSE 123: Computer Networks Stefan Savage
Lecture 3: Modulation & Clock Recovery CSE 123: Computer Networks Stefan Savage Lecture 3 Overview Signaling constraints Shannon s Law Nyquist Limit Encoding schemes Clock recovery Manchester, NRZ, NRZI,
More informationIntroduction: Presence or absence of inherent error detection properties.
Introduction: Binary data can be transmitted using a number of different types of pulses. The choice of a particular pair of pulses to represent the symbols 1 and 0 is called Line Coding and the choice
More informationChapter 3 Digital Transmission Fundamentals
Chapter 3 Digital Transmission Fundamentals Characterization of Communication Channels Fundamental Limits in Digital Transmission CSE 323, Winter 200 Instructor: Foroohar Foroozan Chapter 3 Digital Transmission
More informationLecture 3: Modulation & Clock Recovery. CSE 123: Computer Networks Alex C. Snoeren
Lecture 3: Modulation & Clock Recovery CSE 123: Computer Networks Alex C. Snoeren Lecture 3 Overview Signaling constraints Shannon s Law Nyquist Limit Encoding schemes Clock recovery Manchester, NRZ, NRZI,
More informationCostas Loop. Modules: Sequence Generator, Digital Utilities, VCO, Quadrature Utilities (2), Phase Shifter, Tuneable LPF (2), Multiplier
Costas Loop Modules: Sequence Generator, Digital Utilities, VCO, Quadrature Utilities (2), Phase Shifter, Tuneable LPF (2), Multiplier 0 Pre-Laboratory Reading Phase-shift keying that employs two discrete
More informationCHAPTER 3 Syllabus (2006 scheme syllabus) Differential pulse code modulation DPCM transmitter
CHAPTER 3 Syllabus 1) DPCM 2) DM 3) Base band shaping for data tranmission 4) Discrete PAM signals 5) Power spectra of discrete PAM signal. 6) Applications (2006 scheme syllabus) Differential pulse code
More informationCourse 2: Channels 1 1
Course 2: Channels 1 1 "You see, wire telegraph is a kind of a very, very long cat. You pull his tail in New York and his head is meowing in Los Angeles. Do you understand this? And radio operates exactly
More informationON SYMBOL TIMING RECOVERY IN ALL-DIGITAL RECEIVERS
ON SYMBOL TIMING RECOVERY IN ALL-DIGITAL RECEIVERS 1 Ali A. Ghrayeb New Mexico State University, Box 30001, Dept 3-O, Las Cruces, NM, 88003 (e-mail: aghrayeb@nmsu.edu) ABSTRACT Sandia National Laboratories
More informationChapter Two. Fundamentals of Data and Signals. Data Communications and Computer Networks: A Business User's Approach Seventh Edition
Chapter Two Fundamentals of Data and Signals Data Communications and Computer Networks: A Business User's Approach Seventh Edition After reading this chapter, you should be able to: Distinguish between
More informationCHAPTER. delta-sigma modulators 1.0
CHAPTER 1 CHAPTER Conventional delta-sigma modulators 1.0 This Chapter presents the traditional first- and second-order DSM. The main sources for non-ideal operation are described together with some commonly
More informationRevision of Wireless Channel
Revision of Wireless Channel Quick recap system block diagram CODEC MODEM Wireless Channel Previous three lectures looked into wireless mobile channels To understand mobile communication technologies,
More informationCommunications I (ELCN 306)
Communications I (ELCN 306) c Samy S. Soliman Electronics and Electrical Communications Engineering Department Cairo University, Egypt Email: samy.soliman@cu.edu.eg Website: http://scholar.cu.edu.eg/samysoliman
More informationUNIVERSITY OF NORTH CAROLINA AT CHARLOTTE Department of Electrical and Computer Engineering
UNIVERSITY OF NORTH CAROLINA AT CHARLOTTE Department of Electrical and Computer Engineering EXPERIMENT 1 INTRODUCTION TO THE EMONA SIGEX BOARD FOR NI ELVIS OBJECTIVES The purpose of this experiment is
More informationȘ.l. dr. ing. Lucian-Florentin Bărbulescu
Ș.l. dr. ing. Lucian-Florentin Bărbulescu 1 Data: entities that convey meaning within a computer system Signals: are the electric or electromagnetic impulses used to encode and transmit data Characteristics
More informationExploring QAM using LabView Simulation *
OpenStax-CNX module: m14499 1 Exploring QAM using LabView Simulation * Robert Kubichek This work is produced by OpenStax-CNX and licensed under the Creative Commons Attribution License 2.0 1 Exploring
More informationADVANCED EXPERIMENTS IN MODERN COMMUNICATIONS
ADVANCED EXPERIMENTS IN MODERN COMMUNICATIONS NEW FIBER OPTICS KIT New Generation Single-Board Telecoms Experimenter for Advanced Experiments Emona ETT-101 BiSKIT Multi-Experiment Telecommunications &
More informationCHAPTER 4. PULSE MODULATION Part 2
CHAPTER 4 PULSE MODULATION Part 2 Pulse Modulation Analog pulse modulation: Sampling, i.e., information is transmitted only at discrete time instants. e.g. PAM, PPM and PDM Digital pulse modulation: Sampling
More informationDepartment of Communication Engineering Digital Communication Systems Lab CME 313-Lab
German Jordanian University Department of Communication Engineering Digital Communication Systems Lab CME 313-Lab Experiment 2 Pulse Modulation Eng. AnasAlashqar Dr. Ala' Khalifeh 1 Experiment 1Experiment
More informationChapter 4 Digital Transmission 4.1
Chapter 4 Digital Transmission 4.1 Copyright The McGraw-Hill Companies, Inc. Permission required for reproduction or display. 4-1 DIGITAL-TO-DIGITAL CONVERSION In this section, we see how we can represent
More informationDE63 DIGITAL COMMUNICATIONS DEC 2014
Q.2 a. Draw the bandwidth efficiency curve w.r.t E b /N o. Compute the value of E b /N o required to achieve the data rate equal to the channel capacity if the channel bandwidth tends to infinity b. A
More informationPulse-Width Modulation (PWM)
Pulse-Width Modulation (PWM) Modules: Integrate & Dump, Digital Utilities, Wideband True RMS Meter, Tuneable LPF, Audio Oscillator, Multiplier, Utilities, Noise Generator, Speech, Headphones. 0 Pre-Laboratory
More informationSEN366 Computer Networks
SEN366 Computer Networks Prof. Dr. Hasan Hüseyin BALIK (5 th Week) 5. Signal Encoding Techniques 5.Outline An overview of the basic methods of encoding digital data into a digital signal An overview of
More informationMODELLING EQUATIONS. modules. preparation. an equation to model. basic: ADDER, AUDIO OSCILLATOR, PHASE SHIFTER optional basic: MULTIPLIER 1/10
MODELLING EQUATIONS modules basic: ADDER, AUDIO OSCILLATOR, PHASE SHIFTER optional basic: MULTIPLIER preparation This experiment assumes no prior knowledge of telecommunications. It illustrates how TIMS
More informationChapter 2 Direct-Sequence Systems
Chapter 2 Direct-Sequence Systems A spread-spectrum signal is one with an extra modulation that expands the signal bandwidth greatly beyond what is required by the underlying coded-data modulation. Spread-spectrum
More informationAmplitude Modulation Methods and Circuits
Amplitude Modulation Methods and Circuits By: Mark Porubsky Milwaukee Area Technical College Electronic Technology Electronic Communications Milwaukee, WI Purpose: The various parts of this lab unit will
More informationChpater 8 Digital Transmission through Bandlimited AWGN Channels
Chapter 8. Digital Transmission through Bandlimited AWGN Channels - 1-1 st Semester, 008 Chpater 8 Digital Transmission through Bandlimited AWGN Channels Text. [1] J. G. Proakis and M. Salehi, Communication
More informationDEPARTMENT OF COMPUTER GCE@Bodi_ SCIENCE GCE@Bodi_ AND ENIGNEERING GCE@Bodi_ GCE@Bodi_ GCE@Bodi_ Analog and Digital Communication GCE@Bodi_ DEPARTMENT OF CsE Subject Name: Analog and Digital Communication
More informationAC LAB ECE-D ecestudy.wordpress.com
PART B EXPERIMENT NO: 1 AIM: PULSE AMPLITUDE MODULATION (PAM) & DEMODULATION DATE: To study Pulse Amplitude modulation and demodulation process with relevant waveforms. APPARATUS: 1. Pulse amplitude modulation
More informationChapter 7: Pulse Modulation
Generation of TDM-PAM signal (example) Input signals TDM-PAM signal f 2 f 1 f ( t 3 ) F 1 0 m F 2 F 3 is very complicated. 0 m Low-pass filter Impulse response Transmitted signal f4 = f3( t) hx F 4 = F3
More informationOutline. Communications Engineering 1
Outline Introduction Signal, random variable, random process and spectra Analog modulation Analog to digital conversion Digital transmission through baseband channels Signal space representation Optimal
More informationData Communications & Computer Networks
Data Communications & Computer Networks Chapter 3 Data Transmission Fall 2008 Agenda Terminology and basic concepts Analog and Digital Data Transmission Transmission impairments Channel capacity Home Exercises
More informationUNIT I Source Coding Systems
SIDDHARTH GROUP OF INSTITUTIONS: PUTTUR Siddharth Nagar, Narayanavanam Road 517583 QUESTION BANK (DESCRIPTIVE) Subject with Code: DC (16EC421) Year & Sem: III-B. Tech & II-Sem Course & Branch: B. Tech
More informationDigital frequency modulation as a technique for improving telemetry sampling bandwidth utilization
Digital frequency modulation as a technique for improving telemetry sampling bandwidth utilization by G. E. HEYLGER Martin Marietta Corporation Denver, Colorado NTRODUCTON A hybrid of Time Division Multiplexing
More informationStep Response of RC Circuits
EE 233 Laboratory-1 Step Response of RC Circuits 1 Objectives Measure the internal resistance of a signal source (eg an arbitrary waveform generator) Measure the output waveform of simple RC circuits excited
More information: DIGITAL COMMUNICATION
SRM UNIVERSITY FACULTY OF ENGINEERING AND TECHNOLOGY DEPARTMENT OF ECE COURSE PLAN Course Code : EC0307 Course Title : DIGITAL COMMUNICATION Semester : V Course Time : JULY NOVEMBER 2012 Location : S.R.M.TECH
More informationWaveform Encoding - PCM. BY: Dr.AHMED ALKHAYYAT. Chapter Two
Chapter Two Layout: 1. Introduction. 2. Pulse Code Modulation (PCM). 3. Differential Pulse Code Modulation (DPCM). 4. Delta modulation. 5. Adaptive delta modulation. 6. Sigma Delta Modulation (SDM). 7.
More informationComputer-Aided Analysis of Interference and Intermodulation Distortion in FDMA Data Transmission Systems
Computer-Aided Analysis of Interference and Intermodulation Distortion in FDMA Data Transmission Systems Item Type text; Proceedings Authors Balaban, P.; Shanmugam, K. S. Publisher International Foundation
More informationDigital modulation techniques
Outline Introduction Signal, random variable, random process and spectra Analog modulation Analog to digital conversion Digital transmission through baseband channels Signal space representation Optimal
More information